Scikit-image

scikit-image
Original author	Stéfan van der Walt
Release	August 2009; 17 years ago (2009-08)
Stable release	0.26.0 / 20 December 2025; 9 months ago (20 December 2025)
Written in	Python, Cython, and C.
Operating system	Linux, Mac OS X, Microsoft Windows
Type	Library for image processing
License	BSD License
Website	scikit-image.org
Repository	github.com/scikit-image/scikit-image

scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Overview

The scikit-image project started as scikits.image, by Stéfan van der Walt. Its name stems from the notion that it is a "SciKit" (SciPy Toolkit), a separately-developed and distributed third-party extension to SciPy. The original codebase was later extensively rewritten by other developers. Of the various scikits, scikit-image as well as scikit-learn were described as "well-maintained and popular" in November 2012^[update]. Scikit-image has also been active in the Google Summer of Code.

Implementation

scikit-image is largely written in Python, with some core algorithms written in Cython to achieve performance.

References

External links

• Official website
• https://github.com/scikit-image/scikit-image